Pandas Profiling Report

Dataset statistics

Number of variables	19
Number of observations	50000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	7.2 MiB
Average record size in memory	152.0 B

Variable types

Numeric	12
Categorical	7

Alerts

`artist_name` has a high cardinality: 6863 distinct values	High cardinality
`track_name` has a high cardinality: 41699 distinct values	High cardinality
`tempo` has a high cardinality: 29394 distinct values	High cardinality
`acousticness` is highly correlated with `energy` and 1 other fields	High correlation
`energy` is highly correlated with `acousticness` and 1 other fields	High correlation
`loudness` is highly correlated with `acousticness` and 1 other fields	High correlation
`acousticness` is highly correlated with `energy` and 1 other fields	High correlation
`energy` is highly correlated with `acousticness` and 1 other fields	High correlation
`instrumentalness` is highly correlated with `loudness`	High correlation
`loudness` is highly correlated with `acousticness` and 2 other fields	High correlation
`acousticness` is highly correlated with `energy`	High correlation
`energy` is highly correlated with `acousticness` and 1 other fields	High correlation
`loudness` is highly correlated with `energy`	High correlation
`df_index` is highly correlated with `popularity` and 7 other fields	High correlation
`popularity` is highly correlated with `df_index` and 1 other fields	High correlation
`acousticness` is highly correlated with `df_index` and 3 other fields	High correlation
`danceability` is highly correlated with `df_index` and 4 other fields	High correlation
`energy` is highly correlated with `df_index` and 5 other fields	High correlation
`instrumentalness` is highly correlated with `df_index` and 2 other fields	High correlation
`loudness` is highly correlated with `df_index` and 5 other fields	High correlation
`speechiness` is highly correlated with `df_index` and 1 other fields	High correlation
`valence` is highly correlated with `danceability` and 1 other fields	High correlation
`music_genre` is highly correlated with `df_index` and 7 other fields	High correlation
`df_index` is uniformly distributed	Uniform
`instance_id` is uniformly distributed	Uniform
`track_name` is uniformly distributed	Uniform
`music_genre` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`instance_id` has unique values	Unique
`popularity` has 694 (1.4%) zeros	Zeros
`instrumentalness` has 15001 (30.0%) zeros	Zeros

Reproduction

Analysis started	2022-06-06 19:17:58.295382
Analysis finished	2022-06-06 19:18:22.490341
Duration	24.19 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	50000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25003.5

Minimum	0
Maximum	50004
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	2499.95
Q1	12504.75
median	25004.5
Q3	37504.25
95-th percentile	47504.05
Maximum	50004
Range	50004
Interquartile range (IQR)	24999.5

Descriptive statistics

Standard deviation	14435.28679
Coefficient of variation (CV)	0.5773306454
Kurtosis	-1.199907804
Mean	25003.5
Median Absolute Deviation (MAD)	12500
Skewness	-0.0001995406286
Sum	1250175000
Variance	208377504.8
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
33355	1	< 0.1%
33333	1	< 0.1%
33334	1	< 0.1%
33335	1	< 0.1%
33336	1	< 0.1%
33337	1	< 0.1%
33338	1	< 0.1%
33339	1	< 0.1%
33340	1	< 0.1%
Other values (49990)	49990	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
50004	1	< 0.1%
50003	1	< 0.1%
50002	1	< 0.1%
50001	1	< 0.1%
50000	1	< 0.1%
49999	1	< 0.1%
49998	1	< 0.1%
49997	1	< 0.1%
49996	1	< 0.1%
49995	1	< 0.1%

instance_id
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	50000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	55888.39636

Minimum	20002
Maximum	91759
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	20002
5-th percentile	23561.95
Q1	37973.5
median	55913.5
Q3	73863.25
95-th percentile	88163.05
Maximum	91759
Range	71757
Interquartile range (IQR)	35889.75

Descriptive statistics

Standard deviation	20725.25625
Coefficient of variation (CV)	0.3708329028
Kurtosis	-1.200690581
Mean	55888.39636
Median Absolute Deviation (MAD)	17945.5
Skewness	-0.001860513236
Sum	2794419818
Variance	429536246.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32894	1	< 0.1%
86846	1	< 0.1%
21212	1	< 0.1%
61915	1	< 0.1%
74702	1	< 0.1%
76145	1	< 0.1%
31919	1	< 0.1%
52167	1	< 0.1%
79031	1	< 0.1%
77075	1	< 0.1%
Other values (49990)	49990	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20002	1	< 0.1%
20005	1	< 0.1%
20007	1	< 0.1%
20008	1	< 0.1%
20009	1	< 0.1%
20010	1	< 0.1%
20011	1	< 0.1%
20012	1	< 0.1%
20016	1	< 0.1%
20017	1	< 0.1%

Value	Count	Frequency (%)
91759	1	< 0.1%
91758	1	< 0.1%
91757	1	< 0.1%
91754	1	< 0.1%
91753	1	< 0.1%
91752	1	< 0.1%
91751	1	< 0.1%
91749	1	< 0.1%
91748	1	< 0.1%
91747	1	< 0.1%

artist_name
Categorical

HIGH CARDINALITY

Distinct	6863
Distinct (%)	13.7%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

empty_field	2489
Nobuo Uematsu	429
Wolfgang Amadeus Mozart	402
Ludwig van Beethoven	317
Johann Sebastian Bach	314
Other values (6858)	46049

Length

Max length	52
Median length	43
Mean length	11.89154
Min length	1

Characters and Unicode

Total characters	594577
Distinct characters	208
Distinct categories	15 ?
Distinct scripts	6 ?
Distinct blocks	9 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2346 ?
Unique (%)	4.7%

Sample

1st row	Röyksopp
2nd row	Thievery Corporation
3rd row	Dillon Francis
4th row	Dubloadz
5th row	What So Not

Common Values

Value	Count	Frequency (%)
empty_field	2489	5.0%
Nobuo Uematsu	429	0.9%
Wolfgang Amadeus Mozart	402	0.8%
Ludwig van Beethoven	317	0.6%
Johann Sebastian Bach	314	0.6%
Frédéric Chopin	241	0.5%
Drake	172	0.3%
Capcom Sound Team	169	0.3%
Yuki Hayashi	167	0.3%
Eminem	147	0.3%
Other values (6853)	45153	90.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	3675	3.8%
empty_field	2489	2.6%
	737	0.8%
band	481	0.5%
uematsu	429	0.4%
nobuo	429	0.4%
of	427	0.4%
wolfgang	409	0.4%
amadeus	402	0.4%
mozart	402	0.4%
Other values (8118)	86872	89.8%

Most occurring characters

Value	Count	Frequency (%)
e	52577	8.8%
	46752	7.9%
a	43628	7.3%
i	35410	6.0%
o	33338	5.6%
n	32203	5.4%
r	29404	4.9%
l	24602	4.1%
t	23091	3.9%
s	21627	3.6%
Other values (198)	251945	42.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	428594	72.1%
Uppercase Letter	110102	18.5%
Space Separator	46752	7.9%
Other Punctuation	3165	0.5%
Connector Punctuation	2489	0.4%
Decimal Number	1637	0.3%
Dash Punctuation	818	0.1%
Currency Symbol	438	0.1%
Other Letter	349	0.1%
Open Punctuation	60	< 0.1%
Other values (5)	173	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
い	25	7.2%
こ	16	4.6%
な	16	4.6%
か	16	4.6%
う	16	4.6%
と	16	4.6%
計	12	3.4%
画	12	3.4%
音	12	3.4%
真	10	2.9%
Other values (62)	198	56.7%

Lowercase Letter

Value	Count	Frequency (%)
e	52577	12.3%
a	43628	10.2%
i	35410	8.3%
o	33338	7.8%
n	32203	7.5%
r	29404	6.9%
l	24602	5.7%
t	23091	5.4%
s	21627	5.0%
h	17722	4.1%
Other values (50)	114992	26.8%

Uppercase Letter

Value	Count	Frequency (%)
T	9100	8.3%
S	8601	7.8%
B	8412	7.6%
A	6966	6.3%
M	6808	6.2%
C	6758	6.1%
D	5384	4.9%
J	5303	4.8%
R	5187	4.7%
L	4971	4.5%
Other values (25)	42612	38.7%

Other Punctuation

Value	Count	Frequency (%)
.	1503	47.5%
&	659	20.8%
'	370	11.7%
,	316	10.0%
!	162	5.1%
"	72	2.3%
*	32	1.0%
/	20	0.6%
:	15	0.5%
?	10	0.3%
Other values (2)	6	0.2%

Decimal Number

Value	Count	Frequency (%)
1	285	17.4%
2	272	16.6%
0	176	10.8%
9	169	10.3%
7	157	9.6%
5	125	7.6%
3	122	7.5%
6	119	7.3%
4	110	6.7%
8	102	6.2%

Other Symbol

Value	Count	Frequency (%)
△	12	30.8%
★	10	25.6%
☆	10	25.6%
✰	4	10.3%
✝	3	7.7%

Math Symbol

Value	Count	Frequency (%)
+	55	94.8%
=	2	3.4%
×	1	1.7%

Dash Punctuation

Value	Count	Frequency (%)
-	814	99.5%
–	4	0.5%

Open Punctuation

Value	Count	Frequency (%)
[	39	65.0%
(	21	35.0%

Close Punctuation

Value	Count	Frequency (%)
]	39	65.0%
)	21	35.0%

Space Separator

Value	Count	Frequency (%)
	46752	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2489	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	438	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	9	100.0%

Modifier Letter

Value	Count	Frequency (%)
々	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	538671	90.6%
Common	55527	9.3%
Han	220	< 0.1%
Hiragana	123	< 0.1%
Greek	23	< 0.1%
Katakana	13	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	52577	9.8%
a	43628	8.1%
i	35410	6.6%
o	33338	6.2%
n	32203	6.0%
r	29404	5.5%
l	24602	4.6%
t	23091	4.3%
s	21627	4.0%
h	17722	3.3%
Other values (83)	225069	41.8%

Han

Value	Count	Frequency (%)
計	12	5.5%
画	12	5.5%
音	12	5.5%
真	10	4.5%
崎	10	4.5%
黒	10	4.5%
大	9	4.1%
子	8	3.6%
原	8	3.6%
花	7	3.2%
Other values (43)	122	55.5%

Common

Value	Count	Frequency (%)
	46752	84.2%
_	2489	4.5%
.	1503	2.7%
-	814	1.5%
&	659	1.2%
$	438	0.8%
'	370	0.7%
,	316	0.6%
1	285	0.5%
2	272	0.5%
Other values (31)	1629	2.9%

Hiragana

Value	Count	Frequency (%)
い	25	20.3%
こ	16	13.0%
な	16	13.0%
か	16	13.0%
う	16	13.0%
と	16	13.0%
ゆ	8	6.5%
ま	4	3.3%
み	4	3.3%
あ	1	0.8%

Katakana

Value	Count	Frequency (%)
リ	3	23.1%
エ	2	15.4%
ウ	2	15.4%
カ	1	7.7%
ム	1	7.7%
レ	1	7.7%
ツ	1	7.7%
シ	1	7.7%
キ	1	7.7%

Greek

Value	Count	Frequency (%)
μ	23	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	592398	99.6%
None	1774	0.3%
CJK	213	< 0.1%
Hiragana	123	< 0.1%
Misc Symbols	20	< 0.1%
Punctuation	17	< 0.1%
Katakana	13	< 0.1%
Geometric Shapes	12	< 0.1%
Dingbats	7	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	52577	8.9%
	46752	7.9%
a	43628	7.4%
i	35410	6.0%
o	33338	5.6%
n	32203	5.4%
r	29404	5.0%
l	24602	4.2%
t	23091	3.9%
s	21627	3.7%
Other values (73)	249766	42.2%

None

Value	Count	Frequency (%)
é	767	43.2%
ó	171	9.6%
á	153	8.6%
í	114	6.4%
ö	106	6.0%
ř	85	4.8%
ø	34	1.9%
ü	33	1.9%
ÿ	31	1.7%
ë	31	1.7%
Other values (35)	249	14.0%

Hiragana

Value	Count	Frequency (%)
い	25	20.3%
こ	16	13.0%
な	16	13.0%
か	16	13.0%
う	16	13.0%
と	16	13.0%
ゆ	8	6.5%
ま	4	3.3%
み	4	3.3%
あ	1	0.8%

Geometric Shapes

Value	Count	Frequency (%)
△	12	100.0%

CJK

Value	Count	Frequency (%)
計	12	5.6%
画	12	5.6%
音	12	5.6%
真	10	4.7%
崎	10	4.7%
黒	10	4.7%
大	9	4.2%
子	8	3.8%
原	8	3.8%
花	7	3.3%
Other values (42)	115	54.0%

Misc Symbols

Value	Count	Frequency (%)
★	10	50.0%
☆	10	50.0%

Punctuation

Value	Count	Frequency (%)
’	9	52.9%
–	4	23.5%
•	4	23.5%

Dingbats

Value	Count	Frequency (%)
✰	4	57.1%
✝	3	42.9%

Katakana

Value	Count	Frequency (%)
リ	3	23.1%
エ	2	15.4%
ウ	2	15.4%
カ	1	7.7%
ム	1	7.7%
レ	1	7.7%
ツ	1	7.7%
シ	1	7.7%
キ	1	7.7%

track_name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	41699
Distinct (%)	83.4%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

Home	16
Forever	15
Without You	14
Summertime	13
Fire	13
Other values (41694)	49929

Length

Max length	250
Median length	173
Mean length	20.27006
Min length	1

Characters and Unicode

Total characters	1013503
Distinct characters	1202
Distinct categories	20 ?
Distinct scripts	8 ?
Distinct blocks	13 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35954 ?
Unique (%)	71.9%

Sample

1st row	Röyksopp's Night Out
2nd row	The Shining Path
3rd row	Hurricane
4th row	Nitro
5th row	Divide & Conquer

Common Values

Value	Count	Frequency (%)
Home	16	< 0.1%
Forever	15	< 0.1%
Without You	14	< 0.1%
Summertime	13	< 0.1%
Fire	13	< 0.1%
Wake Up	13	< 0.1%
Dreams	12	< 0.1%
Save Me	12	< 0.1%
Echo	12	< 0.1%
Diamonds	11	< 0.1%
Other values (41689)	49869	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	7106	3.7%
the	5588	2.9%
in	3351	1.8%
feat	2809	1.5%
i	2376	1.3%
you	2255	1.2%
no	2216	1.2%
of	1937	1.0%
a	1918	1.0%
me	1719	0.9%
Other values (25296)	158625	83.5%

Most occurring characters

Value	Count	Frequency (%)
	139900	13.8%
e	86010	8.5%
o	60714	6.0%
a	55964	5.5%
n	50418	5.0%
i	49929	4.9%
t	44696	4.4%
r	43037	4.2%
l	30509	3.0%
s	30453	3.0%
Other values (1192)	421873	41.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	625136	61.7%
Uppercase Letter	171201	16.9%
Space Separator	139900	13.8%
Other Punctuation	30561	3.0%
Decimal Number	19271	1.9%
Other Letter	7938	0.8%
Dash Punctuation	6740	0.7%
Close Punctuation	5919	0.6%
Open Punctuation	5907	0.6%
Modifier Letter	315	< 0.1%
Other values (10)	615	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
の	370	4.7%
ン	205	2.6%
ラ	139	1.8%
イ	137	1.7%
ト	133	1.7%
ス	133	1.7%
ル	127	1.6%
い	124	1.6%
り	112	1.4%
ロ	94	1.2%
Other values (969)	6364	80.2%

Lowercase Letter

Value	Count	Frequency (%)
e	86010	13.8%
o	60714	9.7%
a	55964	9.0%
n	50418	8.1%
i	49929	8.0%
t	44696	7.1%
r	43037	6.9%
l	30509	4.9%
s	30453	4.9%
h	22557	3.6%
Other values (81)	150849	24.1%

Uppercase Letter

Value	Count	Frequency (%)
S	13878	8.1%
T	13210	7.7%
M	11838	6.9%
I	11646	6.8%
A	10581	6.2%
L	9746	5.7%
B	9173	5.4%
R	8097	4.7%
C	8012	4.7%
D	7841	4.6%
Other values (40)	67179	39.2%

Other Punctuation

Value	Count	Frequency (%)
.	11448	37.5%
,	5652	18.5%
'	4785	15.7%
:	3818	12.5%
"	1728	5.7%
&	1092	3.6%
/	791	2.6%
!	570	1.9%
?	276	0.9%
*	132	0.4%
Other values (10)	269	0.9%

Decimal Number

Value	Count	Frequency (%)
1	4017	20.8%
2	3519	18.3%
0	2700	14.0%
3	1625	8.4%
4	1484	7.7%
5	1323	6.9%
9	1318	6.8%
6	1251	6.5%
7	1060	5.5%
8	974	5.1%

Math Symbol

Value	Count	Frequency (%)
~	39	31.2%
+	31	24.8%
\|	24	19.2%
<	8	6.4%
>	7	5.6%
=	7	5.6%
∞	4	3.2%
×	3	2.4%
→	1	0.8%
←	1	0.8%

Other Symbol

Value	Count	Frequency (%)
°	7	38.9%
☆	3	16.7%
®	3	16.7%
◎	1	5.6%
★	1	5.6%
♂	1	5.6%
♀	1	5.6%
♪	1	5.6%

Open Punctuation

Value	Count	Frequency (%)
(	5634	95.4%
[	222	3.8%
「	40	0.7%
《	6	0.1%
『	3	0.1%
【	1	< 0.1%
„	1	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	5639	95.3%
]	222	3.8%
」	45	0.8%
》	6	0.1%
】	4	0.1%
』	3	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	6662	98.8%
〜	51	0.8%
–	17	0.3%
—	10	0.1%

Final Punctuation

Value	Count	Frequency (%)
’	201	89.7%
”	21	9.4%
»	2	0.9%

Initial Punctuation

Value	Count	Frequency (%)
“	20	71.4%
‘	6	21.4%
«	2	7.1%

Modifier Letter

Value	Count	Frequency (%)
ー	305	96.8%
々	10	3.2%

Format

Value	Count	Frequency (%)
‬	10	62.5%
	6	37.5%

Modifier Symbol

Value	Count	Frequency (%)
´	7	77.8%
^	2	22.2%

Space Separator

Value	Count	Frequency (%)
	139900	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	162	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	31	100.0%

Letter Number

Value	Count	Frequency (%)
Ⅲ	1	100.0%

Control

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	796127	78.6%
Common	209217	20.6%
Katakana	3162	0.3%
Han	2664	0.3%
Hiragana	2113	0.2%
Cyrillic	211	< 0.1%
Hebrew	8	< 0.1%
Greek	1	< 0.1%

Most frequent character per script

Han

Value	Count	Frequency (%)
戦	35	1.3%
風	34	1.3%
女	29	1.1%
君	29	1.1%
日	27	1.0%
闘	24	0.9%
夜	23	0.9%
月	22	0.8%
世	22	0.8%
曲	22	0.8%
Other values (812)	2397	90.0%

Latin

Value	Count	Frequency (%)
e	86010	10.8%
o	60714	7.6%
a	55964	7.0%
n	50418	6.3%
i	49929	6.3%
t	44696	5.6%
r	43037	5.4%
l	30509	3.8%
s	30453	3.8%
h	22557	2.8%
Other values (94)	321840	40.4%

Common

Value	Count	Frequency (%)
	139900	66.9%
.	11448	5.5%
-	6662	3.2%
,	5652	2.7%
)	5639	2.7%
(	5634	2.7%
'	4785	2.3%
1	4017	1.9%
:	3818	1.8%
2	3519	1.7%
Other values (70)	18143	8.7%

Katakana

Value	Count	Frequency (%)
ン	205	6.5%
ラ	139	4.4%
イ	137	4.3%
ト	133	4.2%
ス	133	4.2%
ル	127	4.0%
ロ	94	3.0%
リ	91	2.9%
ク	81	2.6%
ア	81	2.6%
Other values (68)	1941	61.4%

Hiragana

Value	Count	Frequency (%)
の	370	17.5%
い	124	5.9%
り	112	5.3%
と	92	4.4%
な	87	4.1%
た	76	3.6%
よ	69	3.3%
る	55	2.6%
し	53	2.5%
て	53	2.5%
Other values (62)	1022	48.4%

Cyrillic

Value	Count	Frequency (%)
о	25	11.8%
а	18	8.5%
и	16	7.6%
н	15	7.1%
с	14	6.6%
е	13	6.2%
к	11	5.2%
т	10	4.7%
м	7	3.3%
р	7	3.3%
Other values (28)	75	35.5%

Hebrew

Value	Count	Frequency (%)
ל	2	25.0%
ת	1	12.5%
ב	1	12.5%
ר	1	12.5%
ק	1	12.5%
ו	1	12.5%
י	1	12.5%

Greek

Value	Count	Frequency (%)
μ	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1003131	99.0%
Katakana	3557	0.4%
CJK	2654	0.3%
Hiragana	2113	0.2%
None	1515	0.1%
Punctuation	299	< 0.1%
Cyrillic	211	< 0.1%
Hebrew	8	< 0.1%
Misc Symbols	7	< 0.1%
Math Operators	4	< 0.1%
Other values (3)	4	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	139900	13.9%
e	86010	8.6%
o	60714	6.1%
a	55964	5.6%
n	50418	5.0%
i	49929	5.0%
t	44696	4.5%
r	43037	4.3%
l	30509	3.0%
s	30453	3.0%
Other values (81)	411501	41.0%

None

Value	Count	Frequency (%)
é	374	24.7%
è	108	7.1%
ü	107	7.1%
ö	92	6.1%
ä	70	4.6%
í	66	4.4%
ó	65	4.3%
á	54	3.6%
〜	51	3.4%
à	51	3.4%
Other values (63)	477	31.5%

Hiragana

Value	Count	Frequency (%)
の	370	17.5%
い	124	5.9%
り	112	5.3%
と	92	4.4%
な	87	4.1%
た	76	3.6%
よ	69	3.3%
る	55	2.6%
し	53	2.5%
て	53	2.5%
Other values (62)	1022	48.4%

Katakana

Value	Count	Frequency (%)
ー	305	8.6%
ン	205	5.8%
ラ	139	3.9%
イ	137	3.9%
ト	133	3.7%
ス	133	3.7%
ル	127	3.6%
ロ	94	2.6%
リ	91	2.6%
・	90	2.5%
Other values (70)	2103	59.1%

Punctuation

Value	Count	Frequency (%)
’	201	67.2%
”	21	7.0%
“	20	6.7%
–	17	5.7%
—	10	3.3%
‬	10	3.3%
…	7	2.3%
	6	2.0%
‘	6	2.0%
„	1	0.3%

CJK

Value	Count	Frequency (%)
戦	35	1.3%
風	34	1.3%
女	29	1.1%
君	29	1.1%
日	27	1.0%
闘	24	0.9%
夜	23	0.9%
月	22	0.8%
世	22	0.8%
曲	22	0.8%
Other values (811)	2387	89.9%

Cyrillic

Value	Count	Frequency (%)
о	25	11.8%
а	18	8.5%
и	16	7.6%
н	15	7.1%
с	14	6.6%
е	13	6.2%
к	11	5.2%
т	10	4.7%
м	7	3.3%
р	7	3.3%
Other values (28)	75	35.5%

Math Operators

Value	Count	Frequency (%)
∞	4	100.0%

Misc Symbols

Value	Count	Frequency (%)
☆	3	42.9%
★	1	14.3%
♂	1	14.3%
♀	1	14.3%
♪	1	14.3%

Hebrew

Value	Count	Frequency (%)
ל	2	25.0%
ת	1	12.5%
ב	1	12.5%
ר	1	12.5%
ק	1	12.5%
ו	1	12.5%
י	1	12.5%

Number Forms

Value	Count	Frequency (%)
Ⅲ	1	100.0%

Arrows

Value	Count	Frequency (%)
→	1	50.0%
←	1	50.0%

Geometric Shapes

Value	Count	Frequency (%)
◎	1	100.0%

popularity
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	99
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.22042

Minimum	0
Maximum	99
Zeros	694
Zeros (%)	1.4%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	18
Q1	34
median	45
Q3	56
95-th percentile	68
Maximum	99
Range	99
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	15.54200843
Coefficient of variation (CV)	0.3514667756
Kurtosis	0.01346140335
Mean	44.22042
Median Absolute Deviation (MAD)	11
Skewness	-0.3047913763
Sum	2211021
Variance	241.5540261
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52	1316	2.6%
54	1295	2.6%
53	1286	2.6%
50	1265	2.5%
55	1250	2.5%
51	1229	2.5%
56	1222	2.4%
38	1212	2.4%
36	1197	2.4%
37	1193	2.4%
Other values (89)	37535	75.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	694	1.4%
1	31	0.1%
2	51	0.1%
3	43	0.1%
4	42	0.1%
5	27	0.1%
6	14	< 0.1%
7	21	< 0.1%
8	45	0.1%
9	57	0.1%

Value	Count	Frequency (%)
99	1	< 0.1%
97	1	< 0.1%
96	2	< 0.1%
95	2	< 0.1%
94	1	< 0.1%
93	2	< 0.1%
92	1	< 0.1%
91	2	< 0.1%
90	7	< 0.1%
89	8	< 0.1%

acousticness
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4193
Distinct (%)	8.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3063827163

Minimum	0
Maximum	0.996
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0.000393
Q1	0.02
median	0.144
Q3	0.552
95-th percentile	0.978
Maximum	0.996
Range	0.996
Interquartile range (IQR)	0.532

Descriptive statistics

Standard deviation	0.3413400065
Coefficient of variation (CV)	1.114096809
Kurtosis	-0.7216753954
Mean	0.3063827163
Median Absolute Deviation (MAD)	0.141165
Skewness	0.8823528035
Sum	15319.13582
Variance	0.116513
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.995	278	0.6%
0.994	240	0.5%
0.992	215	0.4%
0.993	198	0.4%
0.99	158	0.3%
0.991	158	0.3%
0.989	136	0.3%
0.985	119	0.2%
0.982	117	0.2%
0.987	116	0.2%
Other values (4183)	48265	96.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1.02 × 10^-6	1	< 0.1%
1.27 × 10^-6	1	< 0.1%
1.37 × 10^-6	1	< 0.1%
1.38 × 10^-6	1	< 0.1%
1.39 × 10^-6	3	< 0.1%
1.46 × 10^-6	1	< 0.1%
1.55 × 10^-6	1	< 0.1%
1.57 × 10^-6	1	< 0.1%
1.6 × 10^-6	1	< 0.1%

Value	Count	Frequency (%)
0.996	83	0.2%
0.995	278	0.6%
0.994	240	0.5%
0.993	198	0.4%
0.992	215	0.4%
0.991	158	0.3%
0.99	158	0.3%
0.989	136	0.3%
0.988	103	0.2%
0.987	116	0.2%

danceability
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1088
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.558240944

Minimum	0.0596
Maximum	0.986
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0.0596
5-th percentile	0.233
Q1	0.442
median	0.568
Q3	0.687
95-th percentile	0.837
Maximum	0.986
Range	0.9264
Interquartile range (IQR)	0.245

Descriptive statistics

Standard deviation	0.1786319471
Coefficient of variation (CV)	0.3199907657
Kurtosis	-0.3006361617
Mean	0.558240944
Median Absolute Deviation (MAD)	0.122
Skewness	-0.2999180105
Sum	27912.0472
Variance	0.03190937254
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.529	143	0.3%
0.657	139	0.3%
0.61	134	0.3%
0.554	133	0.3%
0.499	130	0.3%
0.547	130	0.3%
0.589	129	0.3%
0.628	128	0.3%
0.576	127	0.3%
0.644	126	0.3%
Other values (1078)	48681	97.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0596	1	< 0.1%
0.06	1	< 0.1%
0.0602	1	< 0.1%
0.0606	2	< 0.1%
0.0607	2	< 0.1%
0.061	1	< 0.1%
0.0613	1	< 0.1%
0.0614	1	< 0.1%
0.0616	1	< 0.1%
0.0617	1	< 0.1%

Value	Count	Frequency (%)
0.986	1	< 0.1%
0.98	2	< 0.1%
0.979	1	< 0.1%
0.978	2	< 0.1%
0.977	2	< 0.1%
0.976	1	< 0.1%
0.975	1	< 0.1%
0.974	1	< 0.1%
0.973	1	< 0.1%
0.972	2	< 0.1%

duration_ms
Real number (ℝ)

Distinct	26028
Distinct (%)	52.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	221252.6029

Minimum	-1
Maximum	4830606
Zeros	0
Zeros (%)	0.0%
Negative	4939
Negative (%)	9.9%
Memory size	390.8 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	174800
median	219281
Q3	268612.25
95-th percentile	401497.05
Maximum	4830606
Range	4830607
Interquartile range (IQR)	93812.25

Descriptive statistics

Standard deviation	128671.9572
Coefficient of variation (CV)	0.5815613263
Kurtosis	98.16617277
Mean	221252.6029
Median Absolute Deviation (MAD)	46866
Skewness	4.264927735
Sum	1.106263014 × 10¹⁰
Variance	1.655647256 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	4939	9.9%
240000	33	0.1%
192000	32	0.1%
180000	28	0.1%
216000	20	< 0.1%
208000	19	< 0.1%
186000	19	< 0.1%
185600	17	< 0.1%
228000	16	< 0.1%
210000	16	< 0.1%
Other values (26018)	44861	89.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	4939	9.9%
15509	1	< 0.1%
16316	1	< 0.1%
19693	1	< 0.1%
20096	1	< 0.1%
22750	1	< 0.1%
24000	1	< 0.1%
26293	1	< 0.1%
26717	1	< 0.1%
27179	1	< 0.1%

Value	Count	Frequency (%)
4830606	1	< 0.1%
4497994	1	< 0.1%
4276000	1	< 0.1%
3195440	1	< 0.1%
2764934	1	< 0.1%
2294000	1	< 0.1%
2019293	1	< 0.1%
1935787	1	< 0.1%
1872653	1	< 0.1%
1778440	1	< 0.1%

energy
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2085
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.5997547876

Minimum	0.000792
Maximum	0.999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0.000792
5-th percentile	0.0728
Q1	0.433
median	0.643
Q3	0.815
95-th percentile	0.953
Maximum	0.999
Range	0.998208
Interquartile range (IQR)	0.382

Descriptive statistics

Standard deviation	0.2645592667
Coefficient of variation (CV)	0.4411123882
Kurtosis	-0.5943393708
Mean	0.5997547876
Median Absolute Deviation (MAD)	0.187
Skewness	-0.5702833972
Sum	29987.73938
Variance	0.06999160558
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.805	103	0.2%
0.675	103	0.2%
0.72	99	0.2%
0.859	98	0.2%
0.83	96	0.2%
0.902	93	0.2%
0.824	92	0.2%
0.833	91	0.2%
0.939	90	0.2%
0.856	90	0.2%
Other values (2075)	49045	98.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.000792	1	< 0.1%
0.000795	1	< 0.1%
0.000825	1	< 0.1%
0.0009	1	< 0.1%
0.000943	1	< 0.1%
0.000953	1	< 0.1%
0.00101	1	< 0.1%
0.00104	1	< 0.1%
0.00106	2	< 0.1%
0.00108	1	< 0.1%

Value	Count	Frequency (%)
0.999	5	< 0.1%
0.998	16	< 0.1%
0.997	18	< 0.1%
0.996	30	0.1%
0.995	46	0.1%
0.994	36	0.1%
0.993	30	0.1%
0.992	37	0.1%
0.991	51	0.1%
0.99	44	0.1%

instrumentalness
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	5131
Distinct (%)	10.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1816006815

Minimum	0
Maximum	0.996
Zeros	15001
Zeros (%)	30.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.000158
Q3	0.155
95-th percentile	0.908
Maximum	0.996
Range	0.996
Interquartile range (IQR)	0.155

Descriptive statistics

Standard deviation	0.3254090738
Coefficient of variation (CV)	1.791893462
Kurtosis	0.4567189695
Mean	0.1816006815
Median Absolute Deviation (MAD)	0.000158
Skewness	1.487047516
Sum	9080.034076
Variance	0.1058910653
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	15001	30.0%
0.898	70	0.1%
0.902	69	0.1%
0.897	66	0.1%
0.912	66	0.1%
0.891	65	0.1%
0.9	61	0.1%
0.905	61	0.1%
0.914	61	0.1%
0.923	61	0.1%
Other values (5121)	34419	68.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15001	30.0%
1 × 10^-6	3	< 0.1%
1.01 × 10^-6	26	0.1%
1.02 × 10^-6	18	< 0.1%
1.03 × 10^-6	19	< 0.1%
1.04 × 10^-6	19	< 0.1%
1.05 × 10^-6	19	< 0.1%
1.06 × 10^-6	16	< 0.1%
1.07 × 10^-6	19	< 0.1%
1.08 × 10^-6	16	< 0.1%

Value	Count	Frequency (%)
0.996	1	< 0.1%
0.994	1	< 0.1%
0.993	2	< 0.1%
0.992	2	< 0.1%
0.989	1	< 0.1%
0.988	3	< 0.1%
0.987	4	< 0.1%
0.986	3	< 0.1%
0.985	5	< 0.1%
0.984	5	< 0.1%

key
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

G	5727
C	5522
C#	5405
D	5265
A	4825
Other values (7)	23256

Length

Max length	2
Median length	1
Mean length	1.33542
Min length	1

Characters and Unicode

Total characters	66771
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	A#
2nd row	D
3rd row	G#
4th row	C#
5th row	F#

Common Values

Value	Count	Frequency (%)
G	5727	11.5%
C	5522	11.0%
C#	5405	10.8%
D	5265	10.5%
A	4825	9.7%
F	4341	8.7%
B	3789	7.6%
E	3760	7.5%
A#	3356	6.7%
G#	3319	6.6%
Other values (2)	4691	9.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
c	10927	21.9%
g	9046	18.1%
a	8181	16.4%
f	7442	14.9%
d	6855	13.7%
b	3789	7.6%
e	3760	7.5%

Most occurring characters

Value	Count	Frequency (%)
#	16771	25.1%
C	10927	16.4%
G	9046	13.5%
A	8181	12.3%
F	7442	11.1%
D	6855	10.3%
B	3789	5.7%
E	3760	5.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	50000	74.9%
Other Punctuation	16771	25.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	10927	21.9%
G	9046	18.1%
A	8181	16.4%
F	7442	14.9%
D	6855	13.7%
B	3789	7.6%
E	3760	7.5%

Other Punctuation

Value	Count	Frequency (%)
#	16771	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	50000	74.9%
Common	16771	25.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	10927	21.9%
G	9046	18.1%
A	8181	16.4%
F	7442	14.9%
D	6855	13.7%
B	3789	7.6%
E	3760	7.5%

Common

Value	Count	Frequency (%)
#	16771	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66771	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
#	16771	25.1%
C	10927	16.4%
G	9046	13.5%
A	8181	12.3%
F	7442	11.1%
D	6855	10.3%
B	3789	5.7%
E	3760	5.6%

liveness
Real number (ℝ_≥0)

Distinct	1646
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1938964414

Minimum	0.00967
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0.00967
5-th percentile	0.0624
Q1	0.0969
median	0.126
Q3	0.244
95-th percentile	0.551
Maximum	1
Range	0.99033
Interquartile range (IQR)	0.1471

Descriptive statistics

Standard deviation	0.1616370683
Coefficient of variation (CV)	0.8336257597
Kurtosis	5.710038571
Mean	0.1938964414
Median Absolute Deviation (MAD)	0.0441
Skewness	2.249483817
Sum	9694.82207
Variance	0.02612654184
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.11	625	1.2%
0.108	610	1.2%
0.111	609	1.2%
0.109	552	1.1%
0.107	542	1.1%
0.112	527	1.1%
0.104	510	1.0%
0.105	489	1.0%
0.106	487	1.0%
0.103	481	1.0%
Other values (1636)	44568	89.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.00967	1	< 0.1%
0.0136	1	< 0.1%
0.0157	1	< 0.1%
0.0169	1	< 0.1%
0.0173	1	< 0.1%
0.0188	2	< 0.1%
0.0191	1	< 0.1%
0.0194	1	< 0.1%
0.0196	1	< 0.1%
0.0204	1	< 0.1%

Value	Count	Frequency (%)
1	2	< 0.1%
0.996	1	< 0.1%
0.993	1	< 0.1%
0.992	1	< 0.1%
0.991	2	< 0.1%
0.99	3	< 0.1%
0.989	2	< 0.1%
0.988	3	< 0.1%
0.987	2	< 0.1%
0.986	2	< 0.1%

loudness
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	17247
Distinct (%)	34.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-9.1337611

Minimum	-47.046
Maximum	3.744
Zeros	1
Zeros (%)	< 0.1%
Negative	49952
Negative (%)	99.9%
Memory size	390.8 KiB

Quantile statistics

Minimum	-47.046
5-th percentile	-22.96625
Q1	-10.86
median	-7.2765
Q3	-5.173
95-th percentile	-3.065
Maximum	3.744
Range	50.79
Interquartile range (IQR)	5.687

Descriptive statistics

Standard deviation	6.162989636
Coefficient of variation (CV)	-0.6747482848
Kurtosis	4.004900246
Mean	-9.1337611
Median Absolute Deviation (MAD)	2.5445
Skewness	-1.87135502
Sum	-456688.055
Variance	37.98244125
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-5.443	19	< 0.1%
-7.066	17	< 0.1%
-5.133	17	< 0.1%
-5.982	16	< 0.1%
-5.013	16	< 0.1%
-5.587	16	< 0.1%
-5.606	16	< 0.1%
-6.217	15	< 0.1%
-6.611	15	< 0.1%
-5.381	15	< 0.1%
Other values (17237)	49838	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-47.046	1	< 0.1%
-46.985	1	< 0.1%
-46.507	1	< 0.1%
-46.122	1	< 0.1%
-46.052	1	< 0.1%
-44.406	1	< 0.1%
-44.108	1	< 0.1%
-44.046	1	< 0.1%
-43.407	1	< 0.1%
-43.135	1	< 0.1%

Value	Count	Frequency (%)
3.744	1	< 0.1%
1.949	1	< 0.1%
1.893	1	< 0.1%
1.61	1	< 0.1%
1.585	1	< 0.1%
1.342	1	< 0.1%
1.314	1	< 0.1%
1.275	1	< 0.1%
1.023	1	< 0.1%
1.012	1	< 0.1%

mode
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

Major	32099
Minor	17901

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	250000
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Minor
2nd row	Minor
3rd row	Major
4th row	Major
5th row	Major

Common Values

Value	Count	Frequency (%)
Major	32099	64.2%
Minor	17901	35.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
major	32099	64.2%
minor	17901	35.8%

Most occurring characters

Value	Count	Frequency (%)
M	50000	20.0%
o	50000	20.0%
r	50000	20.0%
a	32099	12.8%
j	32099	12.8%
i	17901	7.2%
n	17901	7.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	200000	80.0%
Uppercase Letter	50000	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	50000	25.0%
r	50000	25.0%
a	32099	16.0%
j	32099	16.0%
i	17901	9.0%
n	17901	9.0%

Uppercase Letter

Value	Count	Frequency (%)
M	50000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	250000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	50000	20.0%
o	50000	20.0%
r	50000	20.0%
a	32099	12.8%
j	32099	12.8%
i	17901	7.2%
n	17901	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	250000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	50000	20.0%
o	50000	20.0%
r	50000	20.0%
a	32099	12.8%
j	32099	12.8%
i	17901	7.2%
n	17901	7.2%

speechiness
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1337
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.093586474

Minimum	0.0223
Maximum	0.942
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0.0223
5-th percentile	0.0281
Q1	0.0361
median	0.0489
Q3	0.098525
95-th percentile	0.323
Maximum	0.942
Range	0.9197
Interquartile range (IQR)	0.062425

Descriptive statistics

Standard deviation	0.1013731809
Coefficient of variation (CV)	1.083203336
Kurtosis	7.413530414
Mean	0.093586474
Median Absolute Deviation (MAD)	0.017
Skewness	2.47477924
Sum	4679.3237
Variance	0.0102765218
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0332	173	0.3%
0.0337	155	0.3%
0.0315	153	0.3%
0.0329	152	0.3%
0.0362	148	0.3%
0.0336	147	0.3%
0.0358	146	0.3%
0.0363	145	0.3%
0.0321	143	0.3%
0.035	143	0.3%
Other values (1327)	48495	97.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0223	1	< 0.1%
0.0224	3	< 0.1%
0.0225	1	< 0.1%
0.0226	2	< 0.1%
0.0227	1	< 0.1%
0.0228	6	< 0.1%
0.0229	3	< 0.1%
0.023	2	< 0.1%
0.0231	8	< 0.1%
0.0232	5	< 0.1%

Value	Count	Frequency (%)
0.942	1	< 0.1%
0.941	1	< 0.1%
0.939	1	< 0.1%
0.932	1	< 0.1%
0.927	1	< 0.1%
0.922	3	< 0.1%
0.92	1	< 0.1%
0.918	2	< 0.1%
0.904	1	< 0.1%
0.889	1	< 0.1%

tempo
Categorical

HIGH CARDINALITY

Distinct	29394
Distinct (%)	58.8%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

?	4980
140.007	17
120.0	17
100.00299999999999	16
100.014	15
Other values (29389)	44955

Length

Max length	18
Median length	17
Mean length	8.40992
Min length	1

Characters and Unicode

Total characters	420496
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20719 ?
Unique (%)	41.4%

Sample

1st row	100.889
2nd row	115.00200000000001
3rd row	127.994
4th row	128.014
5th row	145.036

Common Values

Value	Count	Frequency (%)
?	4980	10.0%
140.007	17	< 0.1%
120.0	17	< 0.1%
100.00299999999999	16	< 0.1%
100.014	15	< 0.1%
120.015	15	< 0.1%
130.016	15	< 0.1%
100.00200000000001	15	< 0.1%
120.01899999999999	14	< 0.1%
119.985	14	< 0.1%
Other values (29384)	44882	89.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	4980	10.0%
120.0	17	< 0.1%
140.007	17	< 0.1%
100.00299999999999	16	< 0.1%
100.014	15	< 0.1%
120.015	15	< 0.1%
130.016	15	< 0.1%
100.00200000000001	15	< 0.1%
120.01899999999999	14	< 0.1%
119.985	14	< 0.1%
Other values (29384)	44882	89.8%

Most occurring characters

Value	Count	Frequency (%)
9	91131	21.7%
0	80520	19.1%
1	55478	13.2%
.	45020	10.7%
2	24202	5.8%
7	22384	5.3%
8	22345	5.3%
3	19087	4.5%
5	19025	4.5%
4	18995	4.5%
Other values (2)	22309	5.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	370496	88.1%
Other Punctuation	50000	11.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	91131	24.6%
0	80520	21.7%
1	55478	15.0%
2	24202	6.5%
7	22384	6.0%
8	22345	6.0%
3	19087	5.2%
5	19025	5.1%
4	18995	5.1%
6	17329	4.7%

Other Punctuation

Value	Count	Frequency (%)
.	45020	90.0%
?	4980	10.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	420496	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
9	91131	21.7%
0	80520	19.1%
1	55478	13.2%
.	45020	10.7%
2	24202	5.8%
7	22384	5.3%
8	22345	5.3%
3	19087	4.5%
5	19025	4.5%
4	18995	4.5%
Other values (2)	22309	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	420496	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
9	91131	21.7%
0	80520	19.1%
1	55478	13.2%
.	45020	10.7%
2	24202	5.8%
7	22384	5.3%
8	22345	5.3%
3	19087	4.5%
5	19025	4.5%
4	18995	4.5%
Other values (2)	22309	5.3%

obtained_date
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

4-Apr	44748
3-Apr	4067
5-Apr	784
1-Apr	400
0/4	1

Length

Max length	5
Median length	5
Mean length	4.99996
Min length	3

Characters and Unicode

Total characters	249998
Distinct characters	10
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	4-Apr
2nd row	4-Apr
3rd row	4-Apr
4th row	4-Apr
5th row	4-Apr

Common Values

Value	Count	Frequency (%)
4-Apr	44748	89.5%
3-Apr	4067	8.1%
5-Apr	784	1.6%
1-Apr	400	0.8%
0/4	1	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
4-apr	44748	89.5%
3-apr	4067	8.1%
5-apr	784	1.6%
1-apr	400	0.8%
0/4	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
-	49999	20.0%
A	49999	20.0%
p	49999	20.0%
r	49999	20.0%
4	44749	17.9%
3	4067	1.6%
5	784	0.3%
1	400	0.2%
0	1	< 0.1%
/	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	99998	40.0%
Decimal Number	50001	20.0%
Dash Punctuation	49999	20.0%
Uppercase Letter	49999	20.0%
Other Punctuation	1	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	44749	89.5%
3	4067	8.1%
5	784	1.6%
1	400	0.8%
0	1	< 0.1%

Lowercase Letter

Value	Count	Frequency (%)
p	49999	50.0%
r	49999	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	49999	100.0%

Uppercase Letter

Value	Count	Frequency (%)
A	49999	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	149997	60.0%
Common	100001	40.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	49999	50.0%
4	44749	44.7%
3	4067	4.1%
5	784	0.8%
1	400	0.4%
0	1	< 0.1%
/	1	< 0.1%

Latin

Value	Count	Frequency (%)
A	49999	33.3%
p	49999	33.3%
r	49999	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	249998	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	49999	20.0%
A	49999	20.0%
p	49999	20.0%
r	49999	20.0%
4	44749	17.9%
3	4067	1.6%
5	784	0.3%
1	400	0.2%
0	1	< 0.1%
/	1	< 0.1%

valence
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1615
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.456264486

Minimum	0
Maximum	0.992
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	390.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0.0664
Q1	0.257
median	0.448
Q3	0.648
95-th percentile	0.877
Maximum	0.992
Range	0.992
Interquartile range (IQR)	0.391

Descriptive statistics

Standard deviation	0.2471187357
Coefficient of variation (CV)	0.5416129095
Kurtosis	-0.9321348606
Mean	0.456264486
Median Absolute Deviation (MAD)	0.195
Skewness	0.1324011837
Sum	22813.2243
Variance	0.06106766955
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.338	100	0.2%
0.324	95	0.2%
0.332	93	0.2%
0.351	91	0.2%
0.37	87	0.2%
0.358	86	0.2%
0.362	85	0.2%
0.304	84	0.2%
0.347	84	0.2%
0.392	83	0.2%
Other values (1605)	49112	98.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	< 0.1%
0.0193	1	< 0.1%
0.0205	1	< 0.1%
0.0234	1	< 0.1%
0.0241	1	< 0.1%
0.0246	1	< 0.1%
0.0247	1	< 0.1%
0.0251	1	< 0.1%
0.0252	1	< 0.1%
0.0259	1	< 0.1%

Value	Count	Frequency (%)
0.992	1	< 0.1%
0.99	1	< 0.1%
0.989	1	< 0.1%
0.987	1	< 0.1%
0.986	1	< 0.1%
0.985	4	< 0.1%
0.984	1	< 0.1%
0.983	1	< 0.1%
0.982	3	< 0.1%
0.981	1	< 0.1%

music_genre
Categorical

HIGH CORRELATION
UNIFORM

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	390.8 KiB

Electronic	5000
Anime	5000
Jazz	5000
Alternative	5000
Country	5000
Other values (5)	25000

Length

Max length	11
Median length	9
Mean length	6.5
Min length	3

Characters and Unicode

Total characters	325000
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Electronic
2nd row	Electronic
3rd row	Electronic
4th row	Electronic
5th row	Electronic

Common Values

Value	Count	Frequency (%)
Electronic	5000	10.0%
Anime	5000	10.0%
Jazz	5000	10.0%
Alternative	5000	10.0%
Country	5000	10.0%
Rap	5000	10.0%
Blues	5000	10.0%
Rock	5000	10.0%
Classical	5000	10.0%
Hip-Hop	5000	10.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
electronic	5000	10.0%
anime	5000	10.0%
jazz	5000	10.0%
alternative	5000	10.0%
country	5000	10.0%
rap	5000	10.0%
blues	5000	10.0%
rock	5000	10.0%
classical	5000	10.0%
hip-hop	5000	10.0%

Most occurring characters

Value	Count	Frequency (%)
a	25000	7.7%
e	25000	7.7%
i	25000	7.7%
l	25000	7.7%
c	20000	6.2%
t	20000	6.2%
o	20000	6.2%
n	20000	6.2%
s	15000	4.6%
r	15000	4.6%
Other values (15)	115000	35.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	265000	81.5%
Uppercase Letter	55000	16.9%
Dash Punctuation	5000	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	25000	9.4%
e	25000	9.4%
i	25000	9.4%
l	25000	9.4%
c	20000	7.5%
t	20000	7.5%
o	20000	7.5%
n	20000	7.5%
s	15000	5.7%
r	15000	5.7%
Other values (7)	55000	20.8%

Uppercase Letter

Value	Count	Frequency (%)
C	10000	18.2%
A	10000	18.2%
H	10000	18.2%
R	10000	18.2%
B	5000	9.1%
E	5000	9.1%
J	5000	9.1%

Dash Punctuation

Value	Count	Frequency (%)
-	5000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	320000	98.5%
Common	5000	1.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	25000	7.8%
e	25000	7.8%
i	25000	7.8%
l	25000	7.8%
c	20000	6.2%
t	20000	6.2%
o	20000	6.2%
n	20000	6.2%
s	15000	4.7%
r	15000	4.7%
Other values (14)	110000	34.4%

Common

Value	Count	Frequency (%)
-	5000	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	325000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	25000	7.7%
e	25000	7.7%
i	25000	7.7%
l	25000	7.7%
c	20000	6.2%
t	20000	6.2%
o	20000	6.2%
n	20000	6.2%
s	15000	4.6%
r	15000	4.6%
Other values (15)	115000	35.4%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	instance_id	artist_name	track_name	popularity	acousticness	danceability	duration_ms	energy	instrumentalness	key	liveness	loudness	mode	speechiness	tempo	obtained_date	valence	music_genre
0	0	32894.0	Röyksopp	Röyksopp's Night Out	27.0	0.00468	0.652	-1.0	0.941	0.792000	A#	0.1150	-5.201	Minor	0.0748	100.889	4-Apr	0.759	Electronic
1	1	46652.0	Thievery Corporation	The Shining Path	31.0	0.01270	0.622	218293.0	0.890	0.950000	D	0.1240	-7.043	Minor	0.0300	115.00200000000001	4-Apr	0.531	Electronic
2	2	30097.0	Dillon Francis	Hurricane	28.0	0.00306	0.620	215613.0	0.755	0.011800	G#	0.5340	-4.617	Major	0.0345	127.994	4-Apr	0.333	Electronic
3	3	62177.0	Dubloadz	Nitro	34.0	0.02540	0.774	166875.0	0.700	0.002530	C#	0.1570	-4.498	Major	0.2390	128.014	4-Apr	0.270	Electronic
4	4	24907.0	What So Not	Divide & Conquer	32.0	0.00465	0.638	222369.0	0.587	0.909000	F#	0.1570	-6.266	Major	0.0413	145.036	4-Apr	0.323	Electronic
5	5	89064.0	Axel Boman	Hello	47.0	0.00523	0.755	519468.0	0.731	0.854000	D	0.2160	-10.517	Minor	0.0412	?	4-Apr	0.614	Electronic
6	6	43760.0	Jordan Comolli	Clash	46.0	0.02890	0.572	214408.0	0.803	0.000008	B	0.1060	-4.294	Major	0.3510	149.995	4-Apr	0.230	Electronic
7	7	30738.0	Hraach	Delirio	43.0	0.02970	0.809	416132.0	0.706	0.903000	G	0.0635	-9.339	Minor	0.0484	120.008	4-Apr	0.761	Electronic
8	8	84950.0	Kayzo	NEVER ALONE	39.0	0.00299	0.509	292800.0	0.921	0.000276	F	0.1780	-3.175	Minor	0.2680	149.94799999999998	4-Apr	0.273	Electronic
9	9	56950.0	Shlump	Lazer Beam	22.0	0.00934	0.578	204800.0	0.731	0.011200	A	0.1110	-7.091	Minor	0.1730	139.933	4-Apr	0.203	Electronic

Last rows

	df_index	instance_id	artist_name	track_name	popularity	acousticness	danceability	duration_ms	energy	instrumentalness	key	liveness	loudness	mode	speechiness	tempo	obtained_date	valence	music_genre
49990	49995	56911.0	Too $hort	Shake That Monkey	55.0	0.000577	0.937	278707.0	0.695	0.000032	C	0.295	-6.932	Major	0.1340	99.99700000000001	4-Apr	0.457	Hip-Hop
49991	49996	20269.0	Unknown Mortal Orchestra	So Good at Being in Trouble	57.0	0.036300	0.829	230147.0	0.435	0.878000	C	0.119	-10.136	Major	0.0515	103.816	4-Apr	0.594	Hip-Hop
49992	49997	54580.0	Tee Grizzley	First Day Out	75.0	0.171000	0.587	254694.0	0.711	0.000000	C#	0.125	-6.330	Major	0.4200	98.008	4-Apr	0.381	Hip-Hop
49993	49998	64552.0	Logic	Growing Pains III	55.0	0.474000	0.514	246773.0	0.730	0.000000	E	0.511	-8.491	Minor	0.3870	167.655	4-Apr	0.699	Hip-Hop
49994	49999	28408.0	Night Lovell	Barbie Doll	56.0	0.133000	0.849	237667.0	0.660	0.000008	C	0.296	-7.195	Major	0.0516	99.988	4-Apr	0.629	Hip-Hop
49995	50000	58878.0	BEXEY	GO GETTA	59.0	0.033400	0.913	-1.0	0.574	0.000000	C#	0.119	-7.022	Major	0.2980	98.02799999999999	4-Apr	0.330	Hip-Hop
49996	50001	43557.0	Roy Woods	Drama (feat. Drake)	72.0	0.157000	0.709	251860.0	0.362	0.000000	B	0.109	-9.814	Major	0.0550	122.04299999999999	4-Apr	0.113	Hip-Hop
49997	50002	39767.0	Berner	Lovin' Me (feat. Smiggz)	51.0	0.005970	0.693	189483.0	0.763	0.000000	D	0.143	-5.443	Major	0.1460	131.079	4-Apr	0.395	Hip-Hop
49998	50003	57944.0	The-Dream	Shawty Is Da Shit	65.0	0.083100	0.782	262773.0	0.472	0.000000	G	0.106	-5.016	Minor	0.0441	75.88600000000001	4-Apr	0.354	Hip-Hop
49999	50004	63470.0	Naughty By Nature	Hip Hop Hooray	67.0	0.102000	0.862	267267.0	0.642	0.000000	F#	0.272	-13.652	Minor	0.1010	99.20100000000001	4-Apr	0.765	Hip-Hop

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Other Symbol

Math Symbol

Dash Punctuation

Open Punctuation

Close Punctuation

Space Separator

Connector Punctuation

Currency Symbol

Final Punctuation

Modifier Letter

Most occurring scripts

Most frequent character per script

Latin

Han

Common

Hiragana

Katakana

Greek

Most occurring blocks

Most frequent character per block

ASCII

None

Hiragana

Geometric Shapes

CJK

Misc Symbols

Punctuation

Dingbats

Katakana

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Math Symbol

Other Symbol

Open Punctuation

Close Punctuation

Dash Punctuation

Final Punctuation

Initial Punctuation

Modifier Letter

Format

Modifier Symbol

Space Separator

Currency Symbol

Connector Punctuation

Letter Number

Control

Most occurring scripts

Most frequent character per script

Han

Latin

Common

Katakana

Hiragana

Cyrillic

Hebrew

Greek

Most occurring blocks

Most frequent character per block

ASCII

None